Articles with "residual block" as a keyword



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Feature Reuse Residual Networks for Insect Pest Recognition

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2938194

Abstract: Insect pests are one of the main threats to the commercially important crops. An effective insect pest recognition method can avoid economic losses. In this paper, we proposed a new and simple structure based on… read more here.

Keywords: residual block; reuse residual; insect pest; feature ... See more keywords
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A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3031685

Abstract: Residual learning is known for being a learning framework that facilitates the training of very deep neural networks. Residual blocks or units are made up of a set of stacked layers, where the inputs are… read more here.

Keywords: residual block; block; end end; audio classification ... See more keywords
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Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3168019

Abstract: Gait recognition with wearable sensors is an effective approach to identifying people by recognizing their distinctive walking patterns. Deep learning-based networks have recently emerged as a promising technique in gait recognition, yielding better performance than… read more here.

Keywords: recognition; modified residual; recognition wearable; residual block ... See more keywords
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MTRBNet: Multi-Branch Topology Residual Block-Based Network for Low-Light Enhancement

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Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3162145

Abstract: The learning-based low-light image enhancement methods have remarkable performance due to the robust feature learning and mapping capabilities. This paper proposes a multi-branch topology residual block (MTRB)-based network (MTRBNet), which can alleviate training difficulties and… read more here.

Keywords: topology; network; low light; residual block ... See more keywords
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PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit.

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Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2022.3223038

Abstract: Many infectious diseases are caused by bacterial pathogens. The pathogenic mechanisms of bacterial pathogens are complex and it is usually caused by virulence factors (VFs) in many cases. Whether VFs exist is the main difference… read more here.

Keywords: residual block; recurrent unit; model; virulence factors ... See more keywords
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Gated-Residual Block for Semantic Segmentation Using RGB-D Data

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3107672

Abstract: Semantic segmentation is an important technique for scene understanding in the intelligent transportation system. RGB-D data shows great advantages over the unimodal data in this area, and it can be easily obtained from consumer sensors… read more here.

Keywords: residual block; rgb data; gated residual; semantic segmentation ... See more keywords